在此之后，才能处理数据，产生一个平均值的五变量组。
Only then can the data be processed-and an averaged-out quintuple generated.
这个结论来自CDF实验组对费米实验室的万亿电子伏对撞机产生的数以亿计的正反质子对碰撞所得数据的分析。
The result comes from CDF's analysis of billions of collisions of protons and antiprotons produced by Fermilab's Tevatron collider.
而近日，有些科学家从技术层面对上述实验的研究方法提出了质疑：一些曾做过类似实验的研究者表示，当他们利用复杂的“基因芯片”扫描整个基因组时，发现其中的某个芯片可能会受特定条件的影响而产生出“错误的数据”。
Researchers involved in similar studies where entire genomes are scanned by sophisticated “gene chips” said one of the chips could produce “skewed data” under certain conditions.
当数据从两个不同的前趋流入一个结点的时候，两组数据被合并产生一个单个组。
When data flows into a node from two different predecessors, the two sets of data are merged to create a single set.
线性预测可用于扩展数据组并产生无畸变的谱，只是稍微花费一些计算时间。
LP can be used to extend the data sets and to create an undistorted spectrum at the expense of a small increase in calculation time.
全基因组学关联研究所产生的数据结果是巨大的，但是很少能直接鉴别出突变和病症之间的功能关系。
The output of genome-wide association studies is vast, yet it is rarely straightforward to identify the functional connection between a variant and a disorder.
人类基因组计划的实施产生了大量的基因数据，如何利用这些数据是后基因时代生物学研究的主要内容。
Implementation of human gene project produces a lot of gene data. How to use the data is the important issue in post - gene era.
基因组和蛋白质组技术的应用的较大增长，导致高维的、复杂的数据的产生以爆炸式的量增长。
Applications of genomic and proteomic technologies have seen a major increase, resulting in an explosion in the amount of highly dimensional and complex data being generated.
随着基因组测序计划产生大量的序列数据，数据库序列相似性搜索已经成为生物信息学中识别潜在同源序列的一个首要工具。
With genome sequencing projects producing huge amounts of sequence data, database sequence similarity search has become a central tool in bioinformatics to identify potentially homologous sequences.
在源特定组播，路径(也称为树)产生(或根植)在一个单一的定义来源，而双向数据源特定PIM不是。
In source-specific multicast, paths (also called trees) originate (or are rooted) at a single, defined source, whereas bidirectional PIM is not source-specific.
结论：基因组序列和DNA甲基化数据的产生有望大大加速。
CONCLUSION: The generation of genome sequence and DNA methylation data is expected to accelerate greatly.
当前由HTS机器产生的数据需要大量的计算分析，以识别在那个测序的个体中出现的基因组变异。
The data currently generated by HTS machines require extensive computational analysis in order to identify genomic variants present in the sequenced individual.
存储器的内容是易于改变的，这样，当一组数据已被处理完时，程序可被重复（执行），（通过）读入及处理新的数据，（又会）产生新的输出。
Memory's contents are easy to change. Thus, when one set of data has been processed, the program can be repeated, reading and processing new data, and generating new output.
存储器的内容是易于改变的，这样，当一组数据已被处理完时，程序可被重复（执行），（通过）读入及处理新的数据，（又会）产生新的输出。
Memory's contents are easy to change. Thus, when one set of data has been processed, the program can be repeated, reading and processing new data, and generating new output.
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